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This paper aims to examine the role of the creation task–technology fit (CTTF) in the knowledge creation performance (KCP). The creation task features represented by goal-driven, goal-free and goal-frame modes (GDM, GFM and GRM) and information and communication technology (ICT) supportive features are considered. The moderation effect of cognitive style represented by analytical and intuitive styles is explored. Contributions and implications are addressed.

The literature review on creation task, ICT, cognitive behavior and fit theory, and the research gap with respect to the antecedents of KCP are presented. The research arguments are then hypothesized and the research model developed to describe that the proposed role is examined empirically.

Research findings are obtained on the basis of the data analysis of 258 valid subjects from research institutes as well as manufacturing and service industries. The effect of CTTF on creation outcomes is significantly confirmed. The ICT supportive functions are unlikely significantly related to CTTF for the analysis-styled group, but the intuition-styled group shows a likely significance because of the different means of dealing with information and knowledge processing. The analysis-styled group disagrees with the significant link of the GDM with CTTF, whereas the intuition-styled group presents the significant effects of GDM, GFM and GRM on CTTF.

The unique features of knowledge creation differentiate it from other tasks. With respect to whether the knowledge creation task presented by goal is defined or not, and how ICT better suits the creation task features to benefit the creation outcomes are yet to be discussed. The individual cognitive style is confirmed to alternate the effect of ICT and GDM on CTTF in the proposed model. The research findings are particularly obvious because a transition gap, less covered by the literature, might exist with regard to the perception connection of knowledge creation service providers, agencies, consultants and context creators.

Social participation and user-generated contents have engendered an era when “any receiver can be a provider.” Although studies have emphasized on increasing the number of subscribers conducive to platform success, the issue regarding why viewers drop their registered YouTuber channels has been less addressed. This article aims to present and empirically test a causal model to account for the pattern of discontinuous intention of attention to YouTuber channels.

Inspired by the expectation–disconfirmation theory, the study proposes and examines a research model by using an empirical quantitative approach. The proposed model considers channel and YouTuber facets, as well as potential moderation effects of viewing seniority.

Analysis of a sample of 406 questionnaires revealed that ads interference is not a significant reason for discontinuation of viewing a channel, in contrast to insufficient playfulness and inconsistency. Regarding YouTubers’ features, both interaction inadequacy and negative self-disclosure are significant determinants of perceived dissatisfaction and discontinuation of viewing. The effects of determinants of discontinuity depend on viewers' seniorities, except for negative self-disclosure.

While existing studies have focused mainly on revealing the determinants associated with the behavioral intention of viewing YouTuber channels to increase self-media performance, this research contributes insights into the literature investigating why existing viewers stop following a certain YouTuber channel. From a psychological perspective, this study demonstrates the value of modeling discontinuous behaviors toward YouTuber channels in the domain of social marketing.

From the academic perspective, there are challenges to develop an appropriate evaluation model that is linked to both theoretical and professional viewpoints for online knowledge community evaluation (KCE). These challenges are mainly the evaluation principles, the method used to derive the evaluation items, and the techniques used to determine the importance of evaluation items to formulate the evaluation model. The purpose of this paper is to propose and develop an online KCE model by considering the Delphi method, analytic hierarchy process (AHP) technique, and balanced scorecard (BSC) approach that contains facets of member, strategy, learning and growth, and internal process.

The qualitative study was used to develop the KCE model. The BSC approach was used to construct the facets of evaluation model. The Delphi method and AHP technique were utilized to derive structural measure items and to determine item weight in the development process, respectively. An illustrated practical case was used to demonstrate the proposed KCE model.

The member facet is perceived the most important facet while the internal process the least, implying that the invited participants perceive that community members, as represented by member satisfaction and loyalty, are the most important factors. In the knowledge management process sub-facet, knowledge creation obtains the highest weight compared with knowledge acquisition, dissemination, and utilization. Data analysis results based on 822 survey samples for the demonstrated Yahoo!Kimo Knowledge+ case are obtained. Findings and implications are also addressed.

Unlike the exclusively quantitative approach, the proposed KCE model balances both qualitative and quantitative approaches. First, it performed a face-to-face collaboration based on the Delphi method to deal with the unstructured cognition, opinions, and comments of the invited participants. Second, it developed an evaluation model based on the consensus of the invited participants by using the AHP technique in which the perceived importance of measure item to their immediate super item (qualitative variable) is transformed into number (quantitative variable).

The purpose of this study is to reveal the role of individual–social–technology fit in online social network (OSN) value development. The social software features (e.g. communication and interaction), social features (e.g. privacy and trust) and individual features (e.g. sense of belonging and self-disclosure) are considered fitting forms to describe the OSN value. Implications and suggestions are addressed.

The literature review on social software, the social and individual characteristics and the research gap with respect to OSN value is presented. The research arguments are then hypothesized, and research model used to describe the proposed role is examined empirically. The research targeted mobile phone users as the subjects, and the extent of the activities of these users on OSN for both work and studies. A salient investigation explores the moderation effect of gender. The research results are obtained, and the findings are revealed on the basis of 468 social software users.

The significant effect of individual–social–technology fit on OSN value development is presented through the satisfaction of both participation and sharing information, and knowledge about this fit is verified. The interplay of social software, social and individual features contributes significantly to individual–social–technology fit development, implying that OSN value development is not a single issue. OSN value development should be considered concurrently with technological, personal and social issues.

The empirical study confirms that fitness analysis produces a systematic outcome, in which all elements (e.g. social, technology and individual) are required to cooperate with one another to maximize the OSN value. An individual adopts online channels to communicate with others; thus, the benefits may be a multidimensional issue instead of only a single information service issue. They also consider building an equal social relationship to be important, as it enables diverse propositions, maintains acceptable privacy and behaves on faith to enhance the fit of technology features and individual features to value development. The subjects also likely accepted the fact that emotion generation is important for the advantage of fit of technology features and social features, thereby likely benefitting OSN value development.

The OSN does not only add new values to the society but also brings new effects on social development, especially in terms of social cognition from virtual community formation, development and creation. Although existing studies in the literature present the important aspects and antecedents linked significantly to OSN value development, these studies also insufficiently discuss the effect of fit of these facets on OSN value development. This exploratory study mainly aims to propose and examine the individual–social–technology fit model through an empirical investigation. The main argument of the study is that when a positive and healthy virtual society is developed through social software, the individual and social characteristics, as well as the social software features, should be defined with a suitable fit to promote the social networking value.

The purpose of this paper is to examine the impact of knowledge creation mode (e.g. goal‐driven and goal‐free) and organizational culture on knowledge creation performance in the context of high‐tech manufacturing companies having received at least 20 patents.

This paper uses an empirical study to examine the research model.

Both goal‐free and goal‐framed creation modes are more likely to support knowledge creation, while the goal‐driven mode is not likely to be favorable for knowledge creation. Manufacturing companies who are frequently looking for new ideas for product design and manufacturing technologies are more likely to adopt the goal‐free creation mode. Adhocracy culture is more likely to be a predicator of product and manufacturing creation.

This work provides policy implications for government and high‐tech industry associations. A company whose cohesion comes mainly from the task achievements is likely to emphasize manufacturing creation. Companies who would like to emphasize goal achievement with respect to creation in manufacturing should form an organizational culture with a characteristic of market competition. Also, a company with both goal‐free and/or goal‐framed creation modes is more likely to be willing to frame its strategic decisions (or goals) and then freely look for creative ways to reach the goals.

Manufacturing creation‐based companies are becoming increasingly knowledge‐sensitive as the competition becomes more intense, and thus may try multiple modes of knowledge creation to strengthen their creation capability in some areas. The research findings are quite remarkable because the impacts of culture and creation mode on creation performance are statistically examined.

The rapid growth of blogs over the Internet has gradually attracted the attention of enterprises that want to engage in business and develop their online communication channels for customer relationships. The study aims to develop and examine the determinants of enterprise blog (E‐Blog) adoption for the service industry. Organization size is used as a moderating factor to disclose its influence on the effects of the variables.

The research model of the empirical study integrates three composites: social exchange theory, innovation diffusion theory, and organization dynamics. For the results, data are analyzed by using factor analysis to derive the actual composites and structural equation model to test the hypotheses.

The main results show the following findings. First, social exchange via E‐Blog fosters enterprise reputation. Second, enterprises are doubtful whether they can build online relationships via E‐Blog with their customers and E‐Blog visitors. Third, virtual trust and the unknown virtual social structure are barriers for enterprises in using E‐Blog. Fourth, E‐Blog adopters are likely to be purpose‐sensitive as the numbers of blog type increase.

The research findings reveal that E‐Blog vendors and agents should emphasize reputation development to attract the attention of their customers (enterprises). In addition, small‐ to medium‐sized enterprises prefer the relative advantages and simplicity of E‐Blogging. In contrast, large enterprises are more concerned with competition pressure and market dynamics involved in the adoption attitude. These findings would be useful for E‐Blog service providers to analyze the requirements of their customers. In addition, E‐Blog vendors and agents should persuade enterprises adopting E‐Blog to ease competition pressure, particularly for large firms who have not adopted the technology. Finally, E‐Blog platforms and vendors should emphasize that E‐Blog can help increase reputation by attracting the attention of enterprises to adopt E‐Blogging.

In the virtual socialization process, the blog has been developing its own characteristics that are linked to social behaviour. This link explains social change and stability in cyberspace from the social psychology and sociology points of view. The research findings differ from those of previous research because early studies focused on individual Internet user blog participation without placing emphasis on the adoption intention of enterprises. The findings of this study will be helpful for both E‐Blog service providers and enterprises.

The purpose of the paper is to conduct an exploratory study that proposes a personalized knowledge integration platform for digital libraries which can provide users with personalized information and knowledge services.

A prototype system (PIKIP_DL) is designed and developed with two types of service, i.e. personalized information/knowledge service and personalized subject category service. Evaluation of the PIKIP_DL by domain specialists and software experts is conducted. Comments are implications are addressed.

The main findings include the following: the proposed system can help suggest materials that readers are interested in for DL; the proposed system can help construct knowledge contents in a hierarchical structure; and a common recommendation concerning knowledge structure from the reviewers is that the proposed system should add a self‐organizing knowledge map function that would allow users to view knowledge subjects in a graphic manner.

The results from the evaluation of reviewers revealed that the proposed PIKIP_DL is acceptable to the integration of both personalized information service and personalized knowledge subject service. This implies that librarians and DL software agents should place emphasis on integrated service development to attract the attention of their users. Towards this goal, they could explain that personalized services (e.g. material recommendation, message recommendation, knowledge subject materials) with a mechanism of multi‐resource integration can help provide DL resources according to users' needs and wants, and in consequence to enhance DL service efficacy.

The research describes the importance of information/knowledge integration with respect to its support on the learning and study methods of users, and has developed a personalized knowledge integration platform as a mechanism that provides a personalized information service and a personalized knowledge subject category service. By employing Apriori algorithm and association rules as the data mining mechanism, personalized information recommendations are derived from circulation data, and a knowledge subject category is integrated from online sharing knowledge by participants.

This paper aims to investigate the relationships among repatriates' perceived psychological contract fulfillment, counterfactual thinking, and job attitudes.

The paper sampled 135 repatriates from 16 multinational companies (MNCs) in Taiwan through a survey questionnaire. The paper used hierarchical regression analyses to test its hypotheses.

The study results showed that repatriates' perceived fulfillment of their psychological contracts was negatively related to turnover intent and positively related to organizational commitment, after controlling for the variables of change assessments. The study also finds a positive relationship between upward counterfactual thinking and turnover intent and between downward counterfactual thinking and organizational commitment. Moreover, repatriates' perceived fulfillment of their psychological contracts was found to be related to upward counterfactual thinking but not downward counterfactual thinking.

A subjective perception of psychological contract fulfillment is a more important predictor of job attitudes than actual changes in position, pay, and skill improvement. Therefore, it is important for MNCs to maintain open communications with their repatriates to ensure clear understanding of the agreement existing between employees and the organization.

In the international human resource literature, it is unclear whether the relationship between expatriates' (or repatriates') perceived fulfillment of their psychological contract with their job attitudes are simply due to their assessments of actual changes in pay, position, and skills. In the case of repatriation, the paper clarifies the phenomenon by distinguishing both repatriates' assessments of changes before and after expatriation and their perceived fulfillment of psychological contracts (and their counterfactual thinking).

The purpose of this paper is to examine (a)symmetric features of task-technology-performance characteristics that are most relevant to fit, satisfaction and continuance intention of using apps in mobile banking transactions.

Exploratory factor analysis was used with maximum likelihood extraction and Varimax rotation on a separate sample of 183 mobile banking apps users prior to the main data collection. The theoretical model was tested applying a factor-based structural equation modelling approach to a sample of 250 experienced mobile banking apps users.

The study unveiled that the task and performance characteristics are more relevant compared to technology characteristics when doing transactions via apps. In addition, the findings uncovered that user satisfaction and continuous intention to use apps stem from the degree of fit in online transactions. The findings of moderation analysis highlighted that users in the lower income group are more concerned about the performance characteristics of banking apps, and there are no differences across age and gender groups. Surprisingly, technology characteristic has a nonlinear nature and this study shows potential boundary conditions of technology characteristics in degree of fit, user satisfaction and continuance intention to use apps.

Findings from the conditional probabilistic queries reveal that with 83.3 per cent of probability, user satisfaction is high when using apps for banking transactions, if the levels of fit, task, performance and technology characteristics are high. Furthermore, with 72 per cent of probability, continuance intention to use apps is high, if the levels of performance and task characteristics are high.

Contributing to task-technology fit theory, this study shows that performance characteristics need to be aligned with task and technology characteristics in order to have better fit when using apps for online banking transactions.